Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics.

The model predictions are highly significant, even when adjusted for disease site, demonstrating the potential of learning from large cross-sectional datasets, as opposed to highly curated patient subsets (which has been the dominant paradigm thus far).

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